Over 12,000 companies are transforming their customer service with Fin

Your Agent needs to handle your hardest customer queries reliably. It needs to work with your team at the right moments, without disrupting the customer experience. You also need to set the rules for how it works, see what it’s doing, and improve it over time.
To make this work, your team needs a new way to run not just the Agent, but the entire customer service operation. That means understanding what’s happening and continuously improving the customer experience, whether it’s delivered by Fin or your team. Over 12,000 businesses are already doing this with Fin today.
Fin for Service
Performance
Fin’s proprietary models and advanced capabilities let it reliably handle complex queries across multiple steps and systems, so fewer queries need your team.
Follows your business rules, uses live customer data, and takes action across systems to resolve refunds, cancellations, and account changes.
Powered by Fin Apex 1.0 models that outperform frontier models with higher resolution rates, fewer hallucinations, and faster responses.
The Fin Flywheel helps your team Train, Test, Deploy, and Analyze Fin to improve resolution and customer experience over time.
We’ve been seeing around 560,000 resolutions a month with Fin, at about a 79% resolution rate, which is incredible when you think of all the conversations that are not funneling to our human team.”

Fin for Service
Control
Set how Fin behaves, evaluate its performance, and see where the customer experience can improve. Trust Fin with more conversations while staying in control.
Give Fin the knowledge, instructions, and business rules to respond to customers the way you want.

Test Fin against real customer conversations, control its rollout, and monitor quality in live conversations.
See how Fin is performing, understand what’s happening and why, and find opportunities to improve the customer experience.
Fin gives us much more control over the changes we make. We can test how things will behave and validate changes before anything reaches customers. That gives me a lot more confidence in what we’re putting live.”

Fin for Service
Operator
Operator understands what’s happening across your operation, finds problems and opportunities, and does the work to address them, all with your approval.
Operator can set up any Fin feature on your behalf. It configures and tests each change, then brings it to you for approval before anything goes live.

Finds content that needs to be created, updated, or removed, then drafts the changes for you. Your team reviews and approves each change.
Analyzes conversations and performance to surface issues and opportunities, then helps your team act on them.
Fin for Service
Human and AI
Fin and your team work together for the moments that need a person. Your team can step in with input or approval while Fin keeps the conversation moving.


Give Fin the input it needs, then let it continue the conversation and resolve the query.
Your team gets the context they need to take over without making customers repeat themselves.
See Fin and your team’s performance next to each other for a complete view of customer experience.
When Fin escalates a conversation, it passes everything over – transcript, summary, field updates. Our agents pick it up with full context and zero backtracking, which means faster resolutions and better service.”

Fin for Service
Ease of use
Get Fin up and running quickly, then manage and improve it yourself without relying on engineers or ongoing vendor support.

Set up Fin on your existing helpdesk and start resolving queries in days, without a long or complex implementation.
Your team can configure and improve Fin day to day, even when your business changes, without engineers or vendors.
We set Fin live and let it run. It was handling every conversation and doing incredibly well! Right upfront, it was resolving 50% of conversations and holding a 75% CSAT. For a first rollout, that was huge.”

Fin was plug-and-play. We were already using automation, so it was a natural next step – and setup was incredibly smooth.”

Rolling out Fin in Slack and over email was a big moment for us. These are two of our most critical support channels – Slack especially, since it’s so public – so we needed it to be flawless. I was amazed at how smooth the rollout actually was. Within days, Fin was confidently resolving a high percentage of questions across both channels.”

Use Fin across the channels, helpdesk, and business systems you already use, without rebuilding your customer service stack.
Works across voice, email, Messenger, WhatsApp, SMS, social, and Slack. Adapts to the speed, style, and tone each channel demands.
Runs on your existing helpdesk without a migration project or changing how your team works.
Works with internal systems and tools like Stripe, Shopify, and Linear to access real-time data and take action to resolve more queries end to end.
Fin meets leading security, privacy, and AI governance standards, with access controls, regional data hosting, and safeguards built specifically for AI.
Learn moreThe Fin Flywheel is the continuous improvement loop that powers how Fin gets better over time. It runs in four stages: Train Fin on your Procedures, knowledge, and policies; Test performance with simulated conversations before going live; Deploy across every channel your customers use; then Analyze results with AI-powered Insights to find gaps and improve. Each stage feeds into the next, so every conversation Fin handles makes the next one more accurate.
Procedures let Fin handle complex queries with multiple steps, business logic, third party systems, or cross-team approvals. You combine natural language instructions with deterministic controls to create Procedures that follow your exact rules when needed, so Fin can resolve multi-step queries accurately and reliably rather than just answering simple questions.
Before launch, you run fully simulated customer conversations from start to finish with Simulations to see exactly how Fin will behave. You can watch what Fin is doing, when it is reasoning, and where it passes or fails. Save your Simulations to a central library and rerun them whenever you update a Procedure, so you catch anything that regressed before it reaches your customers.
Fin Voice brings Fin to the phone, delivering instant, natural conversations that feel human and never lose context. It is simple to set up, easy to preview, and works with all major telephony systems. When a call needs a person, Fin transfers it with full context so your team picks up where Fin left off.
Fin works across every channel your customers use, including phone, email, live chat, Slack, WhatsApp, and social, plus your own product through Fin's API. Fin delivers accurate, personalized responses in 45+ languages, so the experience stays consistent wherever customers reach out.
Fin is powered by Fin Apex 1.0, the best-performing model for customer service. In production, Fin Apex 1.0 outperforms frontier models with higher resolution rates, fewer hallucinations, and faster responses. Rather than adapting a general-purpose model, the Fin AI Engine is architected specifically for complex support queries, retrieving, ranking, and validating answers against your content before returning a response.
Fin works with Intercom and integrates with a range of external tools, including Salesforce, HubSpot, and Freshdesk. It follows your existing assignment rules, automations, and reporting setup, so your human team's workflow stays unchanged. When Fin escalates a conversation, it passes full context to your agents' preferred inbox.
Fin improves through the Analyze stage of the Fin Flywheel, which continuously monitors performance across every conversation, flags areas where Fin could not resolve queries, and surfaces prioritized content improvements you can apply with one click. The more Fin runs, the more data it generates to guide those improvements, creating a compounding effect on resolution rates as you iterate.
Fin is designed to go live quickly when your content is already in place. It connects directly to your existing knowledge sources, help center articles, and support workflows, so there is no migration or rebuild required. Teams with content ready to go can typically deploy within hours, not weeks.